UI Path Engineer, Azure AI

Tiger Analytics

. Drive on-site deployment, integration, and scaling of enterprise Generative AI solutions .

Posted 10/9/2026full-timeRemote • United StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in deploying and integrating Generative AI solutions within enterprise environments, with a strong focus on operationalizing Large Language Models and leveraging Azure AI concepts. Proficient in software automation principles, API integrations, and process mapping tools to drive business value and strategy.

Highest-signal resume keywords

Generative AI Solutions DeploymentLarge Language Models OperationalizationUiPath Ecosystem ProficiencyPython ProgrammingSoftware Development Lifecycle (SDLC) Methodologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Large Language Models (LLMs)Software Automation PrinciplesAPI IntegrationsProcess Mapping ToolsExperimental DesignModel EvaluationStatistical AnalysisFine-Tuning LLMsPythonAgile/Scrum Methodologies

Soft Skills

Analytical SkillsCollaborationCommunication

Tools & Technologies

AzureUiPath StudioUiPath OrchestratorMicrosoft VisioLucidchartSignavioBizagi

Industry Keywords

Machine LearningAI-Focused RolesCloud InfrastructureBusiness ValueAgentic Workflows

Tech Stack

Tools & technologies

AzureCloudPythonSDLC

About the role

Key responsibilities & impact

Drive on-site deployment, integration, and scaling of enterprise Generative AI solutions
Embed directly within customer engineering teams to operationalize Large Language Models (LLMs) and retrieval systems across Azure
Bridge the gap between AI research and production-grade cloud infrastructure
Collaborate with cross-functional teams and business partners
Leverage analytical skills to ensure business value and communicate results
Drive current and future strategy

Requirements

What you’ll need

Proven track record of producing clear, precise, and structured requirement documents (PDD, SDD, User Stories)
Working understanding of the UiPath ecosystem (Studio, Orchestrator, Document Understanding, Action Center)
Familiarity with Azure AI concepts
Strong grasp of software automation principles, API integrations, software development lifecycle (SDLC) methodologies (Agile/Scrum), and system architecture basics
Proficiency in process mapping tools (e.g., Microsoft Visio, Lucidchart, Signavio, or Bizagi)
7+ years of industry experience in software engineering, machine learning, or AI-focused roles
Strong hands-on experience with LangGraph and building agentic workflows
Proven experience in fine-tuning LLMs, including supervised fine-tuning and reinforcement learning-based methods
Strong background in experimental design, model evaluation, and statistical analysis
Demonstrated ability to reduce hallucinations using techniques beyond creative prompting
Proficiency in Python and experience with modern ML/AI frameworks

Benefits

Comp & perks

Significant career development opportunities
Small, fast-growing, challenging and entrepreneurial environment
High degree of individual responsibility
Equal employment opportunities without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law